Effectiveness of Corporate Social Media Activities to Increase Relational Outcomes

This study applies social media analytics to investigate the impact of different corporate social media activities on user word of mouth and attitudinal loyalty. We conduct a multilevel analysis of approximately 5 million tweets regarding the main Twitter accounts of 28 large global companies. We empirically identify different social media activities in terms of social media management strategies (using social media management tools or the web-frontend client), account types (broadcasting or receiving information), and communicative approaches (conversational or disseminative). We find positive effects of social media management tools, broadcasting accounts, and conversational communication on public perception

Consumers’ willingness to share personal data : implications for newspapers’ business models

As people’s willingness to pay for digital news remains low, this paper investigates whether people would be willing to share personal data as a new currency for accessing news. Increasingly, news organisations collect personal data and track cross-media consumption to build detailed knowledge about and (re)connect with digital news consumers. This paper presents the results of an industry-driven big data project that allows news organisations to engage with their audience more deeply by suggesting personalised content recommendations, serving targeted advertising and/or improving the user experience. It presents the concept of the datawall, where the user pays with their data, and delivers new insights into the challenges facing data-driven business models

Impact in networks and ecosystems: building case studies that make a difference

open accessThis toolkit aims to support the building up of case studies that show the impact of project activities aiming to promote innovation and entrepreneurship. The case studies respond to the challenge of understanding what kinds of interventions work in the Southern African region, where, and why. The toolkit has a specific focus on entrepreneurial ecosystems and proposes a method of mapping out the actors and their relationships over time. The aim is to understand the changes that take place in the ecosystems. These changes are seen to be indicators of impact as increased connectivity and activity in ecosystems are key enablers of innovation. Innovations usually happen together with matching social and institutional adjustments, facilitating the translation of inventions into new or improved products and services. Similarly, the processes supporting entrepreneurship are guided by policies implemented in the common framework provided by innovation systems. Overall, policies related to systems of innovation are by nature networking policies applied throughout the socioeconomic framework of society to pool scarce resources and make various sectors work in coordination with each other. Most participating SAIS countries already have some kinds of identifiable systems of innovation in place both on national and regional levels, but the lack of appropriate institutions, policies, financial instruments, human resources, and support systems, together with underdeveloped markets, create inefficiencies and gaps in systemic cooperation and collaboration. In other words, we do not always know what works and what does not. On another level, engaging users and intermediaries at the local level and driving the development of local innovation ecosystems within which local culture, especially in urban settings, has evident impact on how collaboration and competition is both seen and done. In this complex environment, organisations supporting entrepreneurship and innovation often find it difficult to create or apply relevant knowledge and appropriate networking tools, approaches, and methods needed to put their processes to work for broader developmental goals. To further enable these organisations’ work, it is necessary to understand what works and why in a given environment. Enhanced local and regional cooperation promoted by SAIS Innovation Fund projects can generate new data on this little-explored area in Southern Africa. Data-driven knowledge on entrepreneurship and innovation support best practices as well as effective and efficient management of entrepreneurial ecosystems can support replication and inform policymaking, leading thus to a wider impact than just that of the immediate reported projects and initiatives

Technology in the 21st Century: New Challenges and Opportunities

Although big data, big data analytics (BDA) and business intelligence have attracted growing attention of both academics and practitioners, a lack of clarity persists about how BDA has been applied in business and management domains. In reflecting on Professor Ayre's contributions, we want to extend his ideas on technological change by incorporating the discourses around big data, BDA and business intelligence. With this in mind, we integrate the burgeoning but disjointed streams of research on big data, BDA and business intelligence to develop unified frameworks. Our review takes on both technical and managerial perspectives to explore the complex nature of big data, techniques in big data analytics and utilisation of big data in business and management community. The advanced analytics techniques appear pivotal in bridging big data and business intelligence. The study of advanced analytics techniques and their applications in big data analytics led to identification of promising avenues for future research

A Comprehensive Review of Impacts of Social Media and Information Technology on Decision Making of General People

Social media platforms and information technology have revolutionized the way individuals obtain, use, and share information in the digital age. This has affected people's decision-making processes in a variety of fields. This thorough analysis investigates the complex effects of information technology and social media on the way the public makes decisions. The impact of social media and information technology on decision-making in domains like politics, healthcare, education, consumer behavior, and interpersonal relationships is examined in this review, which draws on an extensive array of scholarly literature, empirical investigations, and theoretical frameworks. According to the research, information technology and social media can influence decisions in both favorable and unfavorable ways. On the one hand, these platforms give users access to a multitude of information, empowering them to take part in social movements, activism, and civic engagement with greater knowledge and understanding. Social media platforms also enable peer-to-peer communication, cooperation, and knowledge sharing, giving people the confidence to ask their social networks for guidance, affirmation, and support. In the digital age, the review emphasizes how psychological variables, cognitive biases, and sociocultural influences shape decision-making processes. In online environments, people's information processing, judgment-making, and decision-making processes are greatly influenced by social comparison, confirmation bias, FOMO, and social validation, among other factors. This thorough analysis advances our knowledge of the intricate interactions among decision-making, information technology, and social media. Informed decision making, digital literacy, and the moral application of social media and information technology in society are all goals of this review, which synthesizes the literature and highlights new trends to guide future research, legislative efforts, and hands-on interventions.&nbsp

Transitioning Business-to-Business Marketing Communications to Social Media

There has been a movement toward digital media marketing channels away from the traditional media marketing channels in the realm of business-to-business (B2B) marketing. This transformation is more than mere semantics. It reflects the recent integration of digital strategies including blogging, social media, and email marketing by B2B marketers. A greater commitment to driving return on investment (ROI) and tracking movement through a website is seen in these strategies. In the rapidly changing digital landscape of B2B marketing, there is a focused emphasis on analytics, which reveals a sharp contrast between traditional media channels and social networking. With traditional media, marketers know very little about the level of success achieved by a campaign because the tools for tracking performance are mostly inferential. With digital media, results can be obtained in real-time, through the big data and plentiful content that is readily available for analysis. The challenge presented by this phenomenon is to make sense of the new paradigm created in B2B marketing by the social media platform. The purpose of this study is to analyze the literature and determine the best strategies that lead to the successful implementation of a B2B marketing program on social media. Evidence-based research was used to analyze how small business owners can successfully transition from traditional media channels to social media channels. They must engage in knowledge acquisition, resource development, strategic planning, and performance measurement. This project will contribute to existing literature from a small business perspective by creating a clear representation of a B2B marketing approach in the Information Age by considering the usage of digital media and the factors that influence the operationalization of networking